Meta platforms technologies, llc (20240331713). OWN-VOICE SUPPRESSION IN WEARABLES simplified abstract

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OWN-VOICE SUPPRESSION IN WEARABLES

Organization Name

meta platforms technologies, llc

Inventor(s)

Jacob Ryan Donley of Issaquah WA (US)

Vladimir Tourbabin of Woodinville WA (US)

OWN-VOICE SUPPRESSION IN WEARABLES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240331713 titled 'OWN-VOICE SUPPRESSION IN WEARABLES

The patent application describes techniques for suppressing the user's own voice in audio content using separate sound filters.

  • Sound from a local area is captured using an acoustic sensor array, including noise from the local area and the user's voice.
  • Statistical properties associated with the noise and the user's voice are determined.
  • A first sound filter is generated based on a target transfer function and both sets of statistical properties.
  • A second sound filter is generated based on the target transfer function and the statistical properties of the user's voice only.
  • The first and second sound filters are applied to different parts of the audio signal to suppress the user's voice in the audio content.

Potential Applications: - Teleconferencing systems - Voice-controlled devices - Speech recognition software

Problems Solved: - Eliminating echo and feedback in audio recordings - Improving the clarity of audio communication in noisy environments

Benefits: - Enhanced audio quality - Improved user experience in voice-based applications

Commercial Applications: Title: "Innovative Own-Voice Suppression Technology for Enhanced Audio Quality" This technology can be used in telecommunication devices, smart speakers, and video conferencing systems to improve audio clarity and user experience.

Questions about Own-Voice Suppression: 1. How does own-voice suppression technology impact the user experience in voice-controlled devices? 2. What are the potential challenges in implementing own-voice suppression in real-time communication systems?

Frequently Updated Research: Stay updated on advancements in acoustic sensor technology and signal processing algorithms for improved own-voice suppression in audio content.


Original Abstract Submitted

techniques are described for own-voice suppression using separate sound filters. sound from a local area is captured using an acoustic sensor array. the captured sound includes noise from the local area and the user's voice. a first set of statistical properties associated with the noise and a second set of statistical properties associated with the user's voice are determined. a first sound filter is generated based on a target transfer function and both sets of statistical properties. a second sound filter is generated based on the target transfer function and the second set of statistical properties, but not the first set of statistical properties. the first sound filter and the second sound filter are applied to different parts of an audio signal generated based on the captured sound, thereby forming audio content in which the user's voice is suppressed for presentation of the audio content to the user.

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